
% Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
% Date and time: Thu, Jun 06, 2024 - 13:01:54
\begin{table}[!htbp] \centering 
  \caption{Regression results regarding vote choice and transfer provision according to belief updating (adjusted score)} 
  \label{} 
\begin{tabular}{@{\extracolsep{5pt}}lcc} 
\\[-1.8ex]\hline 
\hline \\[-1.8ex] 
 & \multicolumn{2}{c}{\textit{Dependent variable:}} \\ 
\cline{2-3} 
 & Vote choice (-1/0/1) & Transfer offer (0/1) \\ 
\\[-1.8ex] & (1) & (2)\\ 
\hline \\[-1.8ex] 
 cutoff1 & 4.189 &  \\ 
  & (4.172) &  \\ 
  & & \\ 
 cutoff2 & 6.031 &  \\ 
  & (4.185) &  \\ 
  & & \\ 
 Diff. in adjusted beliefs & 0.168 & $-$1.892 \\ 
  & (0.774) & (1.089) \\ 
  & & \\ 
 Private transfer offered & 3.096$^{**}$ &  \\ 
  & (0.467) &  \\ 
  & & \\ 
 Monitoring capacity &  & 0.105 \\ 
  &  & (0.606) \\ 
  & & \\ 
 Role in the first six rounds & $-$0.180 & $-$0.521 \\ 
  & (0.580) & (0.841) \\ 
  & & \\ 
 Age & 0.036 & $-$0.418 \\ 
  & (0.171) & (0.251) \\ 
  & & \\ 
 Female & 1.911$^{**}$ & $-$0.156 \\ 
  & (0.621) & (0.865) \\ 
  & & \\ 
 Christian & $-$0.410 & 0.188 \\ 
  & (0.673) & (0.929) \\ 
  & & \\ 
 Muslim & 1.040 & $-$0.939 \\ 
  & (0.886) & (1.306) \\ 
  & & \\ 
 Choice in the beauty contest & $-$0.012 & $-$0.020 \\ 
  & (0.014) & (0.020) \\ 
  & & \\ 
 Num. of correct answers in the CRT & $-$0.161 & 0.111 \\ 
  & (0.269) & (0.383) \\ 
  & & \\ 
 Altruism & $-$0.053 & 0.155 \\ 
  & (0.217) & (0.308) \\ 
  & & \\ 
 Positive reciprocity & 0.355 & 0.313 \\ 
  & (0.240) & (0.336) \\ 
  & & \\ 
 Round & 0.072 & $-$0.588$^{**}$ \\ 
  & (0.081) & (0.117) \\ 
  & & \\ 
 Diff. in adjusted beliefs X Private transfer offered & 1.248$^{*}$ &  \\ 
  & (0.625) &  \\ 
  & & \\ 
 Diff. in adjusted beliefs X Monitoring capacity &  & 3.615$^{**}$ \\ 
  &  & (0.953) \\ 
  & & \\ 
 Constant &  & 10.027 \\ 
  &  & (6.013) \\ 
  & & \\ 
\hline \\[-1.8ex] 
Observations & 360 & 360 \\ 
Observations &  & 360 \\ 
Log Likelihood &  & $-$168.888 \\ 
Bayesian Inf. Crit. &  & 426.068 \\ 
\hline 
\hline \\[-1.8ex] 
\textit{Note:}  & \multicolumn{2}{l}{Models 1 and 2 use random effect regressions (ologit for Model 1 and logit for Model 2); standard errors in parentheses; cutoffs are suppressed in the report; * p<0.05, ** p<0.01} \\ 
\end{tabular} 
\end{table} 
